Name

Trino Software Foundation

Legal name

Trino Software Foundation

Website

https://trino.io

Company type

Private

Founded year

2020

Operating status

Operating

Headcount range

1–10 employees

Ownership category

akta.pro rank

Product category

Distributed SQL Query Engine for Big Data Analytics

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518), Computer Systems Design and Related Services (54151)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

Database/Application Data Layer Modernization (DB migration, ORM, caching) (BPAEAFAL)

Keywords

• Distributed SQL query engine
• Open source analytics
• Query federation
• Data lakehouse
• Big data analytics

Headquarters

HQ city

San Francisco

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure

Revenue model

1. Open Source Distribution: Trino is freely distributed under Apache License 2.0. The Trino Software Foundation is a non-profit that does not generate direct revenue from the software. Revenue generation occurs through the commercial ecosystem, primarily Starburst Data, which provides enterprise support, consulting, and managed services around Trino.

Pricing tiers

Go-to-market motion2 records

Distribution channels5 records

Marketing channels8 records

Core offering

Trino is an open source distributed SQL query engine written in Java that enables fast, low-latency analytics on big data at exabyte scale. It supports ANSI SQL compliance, query federation across multiple heterogeneous data sources (data lakes, RDBMS, NoSQL, streaming systems), and provides in-place analysis without data copying. The engine includes a Connector Architecture supporting 40+ data sources including Apache Iceberg, Delta Lake, Hudi, Hive, MySQL, PostgreSQL, Oracle, Kafka, and cloud object stores.

Product overview

Trino Software Foundation maintains Trino as a unified distributed SQL query engine for big data analytics. The core Trino engine provides ANSI SQL-compliant querying across diverse data sources, including data lakes using Apache Iceberg, Delta Lake, and Apache Hudi formats, as well as data warehouses like Snowflake and Vertica. The product portfolio includes official client libraries for Python (trino-python-client), JavaScript (trino-js-client), and C# (trino-csharp-client), plus the Trino Gateway for multi-cluster management and Kubernetes deployment via Helm charts. The ecosystem is supported by comprehensive documentation including the O'Reilly-published 'Trino: The Definitive Guide' and academic publications. Trino runs on both cloud platforms (AWS, Azure, Google Cloud) and on-premise infrastructure, connects to BI tools including Tableau, Power BI, and Superset, and is licensed under Apache License 2.0.

Differentiator

Problem solved

Functional benefit

Products and services

• Trino Core Engine Distributed SQL query engine designed for fast analytics on big data at exabyte scale. Supports ANSI SQL compliance, query federation across multiple heterogeneous data sources, and runs in both cloud and on-premise environments. Licensed under Apache License 2.0.
• Trino Gateway Gateway service for managing multiple Trino clusters, providing routing, load balancing, and centralized access control across Trino deployments.
• Trino Python Client (trino-python-client) Official Python client library for connecting to Trino and executing queries from Python applications and data science workflows.
• Trino JavaScript Client (trino-js-client) Official JavaScript/Node.js client library for connecting to Trino, used in Visual Studio Code support, Emacs integration, and web applications.
• Trino C# Client (trino-csharp-client) Official C# client library with ADO.NET support for .NET applications connecting to Trino.

Quantifiable outcome

• Queries that previously took hours now complete in seconds or are enabled at all
• +3 more outcomes

Named customers20 records

Segments4 records

Ideal customer profiles2 records

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration15 records

Feature6 records

Partnerships

Two partnerships are on record, tiered core and minor.

• Starburst DatacoreStrategic or Co-development PartnerStarburst Data is the primary commercial entity associated with Trino, founded by Trino co-creators Martin Traverso (CTO) and Dain Sundstrom (CTO). Starburst provides enterprise support, consulting, and managed services around Trino. It serves as the organizing sponsor for Trino Summit, Trino Fest, and other community events. Starburst contributes significantly to Trino development and employs several core maintainers.
• GitHubminorGTM or Marketing PartnerGitHub sponsors Trino as part of its open source sponsorship program. The Trino project is hosted on GitHub (github.com/trinodb) with 10.5k+ stars.

Scale indicators10 records

Recent moves6 records

Direct peers

• Starburst Data: Commercial enterprise distribution of Trino, founded by Trino co-creators Martin Traverso and Dain Sundstrom. Provides managed services, consulting, and enterprise support around the open-source Trino engine — the most direct commercial peer for the project's ecosystem.
• Apache Spark: Distributed compute framework with Spark SQL engine. A historical predecessor and continued alternative for large-scale batch and interactive analytics workloads on big data.
• Dremio: Data lakehouse platform providing SQL query, semantic layer, and Apache Arrow-based acceleration over Iceberg and other lake formats. A direct Trino alternative for self-service analytics on data lakes.
• Presto (Linux Foundation project): The original Facebook-created project from which Trino was forked in 2018. Continues as a separate open-source distributed SQL engine maintained under the Linux Foundation, sharing heritage and overlapping contributors with Trino.

Broad incumbents

• Databricks: Unified data and AI platform with the Photon query engine and Delta Lake table format. Competes with Trino for lakehouse SQL workloads at large enterprises, offering deeper integration with Spark and ML workloads.
• Snowflake: Cloud data platform with managed SQL query layer over shared storage. Trino integrates with Snowflake via a connector, but Snowflake also competes for lakehouse SQL workloads through Iceberg and Polaris support.
• AWS (Athena / Glue): Cloud-native SQL query service (Athena) over S3 with native IAM, Glue Data Catalog, and serverless pricing. Direct alternative to Trino for SQL-on-data-lake workloads inside the AWS ecosystem.
• Google BigQuery: Serverless cloud data warehouse with native Iceberg and external table federation. Competes for large-scale SQL analytics workloads where Google Cloud is the primary platform.

Emerging players

• ClickHouse: Column-oriented OLAP database with its own distributed SQL engine. Competes with Trino for sub-second interactive analytics workloads, particularly on event and observability data.
• Apache Druid: Real-time analytics database for sub-second OLAP queries on high-cardinality event data. Notable competitive reference: Branch migrated from Druid to Trino+Iceberg, citing cost savings as the driver.

Market position

Strengths2 records

Weaknesses4 records

Competitive moat6 records

Key risks5 records

Key highlights6 records

Customer concentration

• GitHubgithub.com/trinodb/trino
• YouTubeyoutube.com/@Trino-db
• LinkedInlinkedin.com/company/trino-software-foundation
• Xx.com/trinodb

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Trino Software Foundation